https://perceptilabs.canny.io/feature-requests/p/dont-stop-the-data-loading-in-case-of-errors

Right now, if the "preparing pre-processing pipelines" crashes because of a missing value in a row, or a file being corrupt, it will throw an error and stop the entire process, which can be very painful if you are loading a large dataset.

With this feature, instead of doing this, the loading would skip those rows, complete the preparing, create the model and then show some information on how many rows were skipped, which rows were skipped and why they were skipped.